• DocumentCode
    36777
  • Title

    A New Method for Radar High-Speed Maneuvering Weak Target Detection and Imaging

  • Author

    Shengqi Zhu ; Guisheng Liao ; Dong Yang ; Haihong Tao

  • Author_Institution
    Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
  • Volume
    11
  • Issue
    7
  • fYear
    2014
  • fDate
    Jul-14
  • Firstpage
    1175
  • Lastpage
    1179
  • Abstract
    Weak-target detection and imaging are the challenging problems of airborne or spaceborne early warning radar. The envelope of a high-speed weak target after range compression spreads over range during the long observation period. To finely refocus a high-speed weak maneuvering target, motion parameters should be accurately obtained for compensating the envelope. This letter proposes a new imaging approach for high-speed maneuvering targets without a priori knowledge of their motion parameters. In this method, the azimuth compression function is constructed in a range and azimuth 2-D frequency domain, which can eliminate the coupling effect between range and azimuth. Theoretical analysis confirms that the methodology can precisely focus targets. Simulation results show that the proposed algorithm improves the performance for detecting and imaging high-speed maneuvering targets.
  • Keywords
    airborne radar; data compression; image coding; image motion analysis; image reconstruction; image sensors; object detection; radar detection; radar imaging; spaceborne radar; airborne early warning radar imaging; azimuth 2D frequency domain analysis; azimuth compression function; compensation; coupling effect elimination; motion parameter; radar high-speed maneuvering weak target detection; spaceborne early warning radar imaging; Acceleration; Azimuth; Doppler effect; Frequency-domain analysis; Imaging; Radar imaging; Transforms; Doppler ambiguity; high-speed maneuvering targets; keystone transform; range frequency domain; twodimensional (2-D) matched filtering;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2283887
  • Filename
    6691919